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Paper Citation Record · LEDGER

EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.03177.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2110.03177 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:51:35.714690Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T11:32:17.618935Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0f97e972-8758-4f94-8edd-8bf40a2ae367 · inbound

Contextual bandits with entropy-based human feedback cites this paper.

Contextual bandits with entropy-based human feedback EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-07T23:51:35.714690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:51:35.714690Z digest=sha256:3db12f883a91bae0fa9e94a11a081040c86bb562ed4cf7bb2d5f24254ccfa501

Observation 253db32e-3bc6-43bc-809c-a752375db668 · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T23:49:14.422278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:49:14.422278Z digest=sha256:90af4fa0f2c362ffd169872c9f33c31aec5ce9d14ae14663ee26238463d230dc

Observation 06414120-5098-47d2-acbf-634eb8d4b603 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.622641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:29:47.911870Z digest=sha256:b7a0a7b153ac5109442a84df26ff9b1f5e10b793048d763e18df6592f3251543

Observation e849883e-fba2-4e58-8641-b5dfa1356177 · inbound

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration cites this paper.

Neural Variance-aware Dueling Bandits with Deep Representation and Shallow Exploration EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:33.742784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:33.742784Z digest=sha256:aaecde1cd4db6071c2def101f2a5a464c8e62fece5109131d5525fcdcc662fec

Observation c08bc85f-051e-4188-af32-16d2bf741eb5 · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:31:22.195151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T17:30:44.919870Z digest=sha256:3732a21989a1a2c4430b6089a122ebe7936e93433cb96ee248368032e7701889